{"id":"https://openalex.org/W7160863513","doi":"https://doi.org/10.48550/arxiv.2605.07385","title":"Velocity-Space 3D Asset Editing","display_name":"Velocity-Space 3D Asset Editing","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160863513","doi":"https://doi.org/10.48550/arxiv.2605.07385"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.07385","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07385","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.07385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135856875","display_name":"Hao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135870993","display_name":"Yuxuan Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Yuxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135896146","display_name":"Jingfeng Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Jingfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034923822","display_name":"Ruihang Chu","orcid":"https://orcid.org/0000-0001-9057-745X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chu, Ruihang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135841169","display_name":"Junjie Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Junjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135853704","display_name":"Ruotong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Ruotong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135863558","display_name":"Yujiu Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yujiu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.1777999997138977,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.1777999997138977,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14839999377727509,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.09229999780654907,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.8490999937057495},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.42910000681877136},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41029998660087585},{"id":"https://openalex.org/keywords/information-leakage","display_name":"Information leakage","score":0.3971000015735626},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.3901999890804291},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.3617999851703644},{"id":"https://openalex.org/keywords/asset","display_name":"Asset (computer security)","score":0.36059999465942383}],"concepts":[{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.8490999937057495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176999807357788},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3343000113964081},{"id":"https://openalex.org/C123307717","wikidata":"https://www.wikidata.org/wiki/Q1003682","display_name":"Materiality (auditing)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2694999873638153},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2551000118255615},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.07385","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07385","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.07385","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07385","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8072769045829773}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Editing":[0],"a":[1,6,14,57,82,132,159,173,193,222],"3D":[2,19,34,145],"asset":[3],"locally,":[4],"modifying":[5],"target":[7,73],"region":[8,75],"while":[9,76],"preserving":[10],"the":[11,29,48,53,72,101,115,126,139,163,177,189,205,216,231,241],"rest,":[12],"is":[13],"fundamental":[15],"requirement":[16],"of":[17,44,176,215],"native":[18],"editing.":[20],"Existing":[21],"methods":[22],"enforce":[23],"locality":[24],"through":[25,198],"mechanisms":[26],"external":[27],"to":[28,60,93,172,238],"generator,":[30],"such":[31],"as":[32],"manual":[33],"masks,":[35],"post-hoc":[36],"voxel":[37],"merging,":[38],"or":[39],"2D":[40],"multi-view":[41],"lifting.":[42],"None":[43],"them":[45],"intervene":[46],"where":[47,131,221],"corruption":[49],"actually":[50],"originates:":[51],"inside":[52,162],"ODE":[54],"sampler.":[55,164],"For":[56],"rectified-flow":[58],"generator":[59],"achieve":[61],"faithful":[62],"local":[63],"editing,":[64],"its":[65],"velocity":[66,84,217],"field":[67,85],"should":[68],"be":[69],"strong":[70],"over":[71],"editing":[74,178],"vanishing":[77],"on":[78,105],"preserved":[79,106],"content.":[80],"Yet":[81],"single":[83],"can":[86],"hardly":[87],"satisfy":[88],"both":[89],"requirements":[90],"simultaneously,":[91],"leading":[92],"three":[94,167],"problems:":[95],"(i)":[96],"identity":[97,123,185],"leakage":[98,186],"that":[99,154],"keeps":[100],"edit":[102,116,206,224],"signal":[103,207],"non-zero":[104],"regions;":[107],"(ii)":[108],"no":[109],"dedicated":[110],"edit-amplification":[111],"channel,":[112],"so":[113],"strengthening":[114],"inevitably":[117],"perturbs":[118],"identity;":[119],"and":[120,128,151,211,243],"(iii)":[121],"an":[122,148],"drag":[124],"at":[125,240],"geometry":[127,242],"material":[129,244],"stages,":[130],"global":[133],"condition":[134],"pulls":[135],"every":[136],"token":[137,234,236],"toward":[138],"target.":[140],"We":[141],"propose":[142],"VS3D":[143,165],"(Velocity-Space":[144],"Asset":[146],"editing}),":[147],"inversion-free,":[149],"training-free,":[150],"mask-free":[152],"framework":[153],"addresses":[155],"each":[156,170],"problem":[157],"with":[158],"targeted":[160],"intervention":[161],"integrates":[166],"complementary":[168],"modules,":[169],"corresponding":[171],"specific":[174],"stage":[175],"pipeline.":[179],"Reconstruction-Anchored":[180],"Source":[181],"Injection":[182],"(RASI)":[183],"absorbs":[184],"by":[187,208,235],"turning":[188],"unconditional":[190],"embedding":[191],"into":[192],"per-step,":[194],"asset-specific":[195],"anchor":[196],"calibrated":[197],"source":[199],"reconstruction.":[200],"Partial-Mean":[201],"Guidance":[202],"(PMG)":[203],"amplifies":[204],"contrasting":[209],"high-":[210],"low-quality":[212],"subsample":[213],"estimates":[214],"difference,":[218],"active":[219],"only":[220],"consistent":[223],"exists.":[225],"Twin-Agreement":[226],"Residual":[227],"injection":[228],"(TAR)":[229],"lets":[230],"sampler":[232],"decide":[233],"what":[237],"preserve":[239],"stages.":[245]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-12T00:00:00"}
